Markel (Germany) Volatility

MKV Stock  EUR 1,683  21.00  1.26%   
At this point, Markel is very steady. Markel has Sharpe Ratio of 0.0358, which conveys that the firm had a 0.0358 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Markel, which you can use to evaluate the volatility of the firm. Please verify Markel's Downside Deviation of 1.33, risk adjusted performance of 0.0241, and Mean Deviation of 1.19 to check out if the risk estimate we provide is consistent with the expected return of 0.0673%. Key indicators related to Markel's volatility include:
90 Days Market Risk
Chance Of Distress
90 Days Economic Sensitivity
Markel Stock volatility depicts how high the prices fluctuate around the mean (or its average) price. In other words, it is a statistical measure of the distribution of Markel daily returns, and it is calculated using variance and standard deviation. We also use Markel's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Markel volatility.
  
Since volatility provides investors with entry points to take advantage of stock prices, companies, such as Markel can benefit from it. Downward market volatility can be a perfect environment for investors who play the long game as hey may decide to buy additional stocks of Markel at lower prices to lower their average cost per share. Similarly, when the prices of Markel's stock rise, investors can sell out and invest the proceeds in other equities with better opportunities.

Moving together with Markel Stock

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Moving against Markel Stock

  0.66DBPD Xtrackers ShortDAXPairCorr
  0.54ADC AdCapital AGPairCorr
  0.485TI TINC Comm VAPairCorr
  0.39CCJ Cincinnati FinancialPairCorr

Markel Market Sensitivity And Downside Risk

Markel's beta coefficient measures the volatility of Markel stock compared to the systematic risk of the entire market represented by your selected benchmark. In mathematical terms, beta represents the slope of the line through a regression of data points where each of these points represents Markel stock's returns against your selected market. In other words, Markel's beta of 0.49 provides an investor with an approximation of how much risk Markel stock can potentially add to one of your existing portfolios. Markel has relatively low volatility with skewness of 1.92 and kurtosis of 8.91. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Markel's stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Markel's stock price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.
3 Months Beta |Analyze Markel Demand Trend
Check current 90 days Markel correlation with market (Dow Jones Industrial)

Markel Beta

    
  0.49  
Markel standard deviation measures the daily dispersion of prices over your selected time horizon relative to its mean. A typical volatile entity has a high standard deviation, while the deviation of a stable instrument is usually low. As a downside, the standard deviation calculates all uncertainty as risk, even when it is in your favor, such as above-average returns.

Standard Deviation

    
  1.88  
It is essential to understand the difference between upside risk (as represented by Markel's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Markel's daily returns or price. Since the actual investment returns on holding a position in markel stock tend to have a non-normal distribution, there will be different probabilities for losses than for gains. The likelihood of losses is reflected in the downside risk of an investment in Markel.

Markel Stock Volatility Analysis

Volatility refers to the frequency at which Markel stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Markel's price changes. Investors will then calculate the volatility of Markel's stock to predict their future moves. A stock that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A stock with relatively stable price changes has low volatility. A highly volatile stock is riskier, but the risk cuts both ways. Investing in highly volatile security can either be highly successful, or you may experience significant failure. There are two main types of Markel's volatility:

Historical Volatility

This type of stock volatility measures Markel's fluctuations based on previous trends. It's commonly used to predict Markel's future behavior based on its past. However, it cannot conclusively determine the future direction of the stock.

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for Markel's current market price. This means that the stock will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on Markel's to be redeemed at a future date.
Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Markel Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.

Markel Projected Return Density Against Market

Assuming the 90 days horizon Markel has a beta of 0.4908 . This indicates as returns on the market go up, Markel average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Markel will be expected to be much smaller as well.
Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to Markel or Financial Services sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that Markel's price will be affected by overall stock market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a Markel stock's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
Markel has an alpha of 0.0829, implying that it can generate a 0.0829 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Predicted Return Density   
       Returns  
Markel's volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how markel stock's price will differ from the mean after some time.To get its calculation, you should first determine the mean price during the specified period then subtract that from each price point.

What Drives a Markel Price Volatility?

Several factors can influence a stock's market volatility:

Industry

Specific events can influence volatility within a particular industry. For instance, a significant weather upheaval in a crucial oil-production site may cause oil prices to increase in the oil sector. The direct result will be the rise in the stock price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence stock prices due to increased regulations on compliance that may impact the company's future earnings and growth.

Political and Economic environment

When governments make significant decisions regarding trade agreements, policies, and legislation regarding specific industries, they will influence stock prices. Everything from speeches to elections may influence investors, who can directly influence the stock prices in any particular industry. The prevailing economic situation also plays a significant role in stock prices. When the economy is doing well, investors will have a positive reaction and hence, better stock prices and vice versa.

The Company's Performance

Sometimes volatility will only affect an individual company. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the company. This positive attention will raise the company's stock price. In contrast, product recalls and data breaches may negatively influence a company's stock prices.

Markel Stock Risk Measures

Assuming the 90 days horizon the coefficient of variation of Markel is 2795.1. The daily returns are distributed with a variance of 3.54 and standard deviation of 1.88. The mean deviation of Markel is currently at 1.22. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.87
α
Alpha over Dow Jones
0.08
β
Beta against Dow Jones0.49
σ
Overall volatility
1.88
Ir
Information ratio 0.08

Markel Stock Return Volatility

Markel historical daily return volatility represents how much of Markel stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The company shows 1.8811% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.9007% volatility on return distribution over the 90 days horizon.
 Performance 
       Timeline  

About Markel Volatility

Volatility is a rate at which the price of Markel or any other equity instrument increases or decreases for a given set of returns. It is measured by calculating the standard deviation of the annualized returns over a given period of time and shows the range to which the price of Markel may increase or decrease. In other words, similar to Markel's beta indicator, it measures the risk of Markel and helps estimate the fluctuations that may happen in a short period of time. So if prices of Markel fluctuate rapidly in a short time span, it is termed to have high volatility, and if it swings slowly in a more extended period, it is understood to have low volatility.
Please read more on our technical analysis page.
Markel Corporation, a diverse financial holding company, markets and underwrites specialty insurance products in the United States, the United Kingdom, Canada, and internationally. Markel Corporation was founded in 1930 and is headquartered in Glen Allen, Virginia. MARKEL CORP operates under Insurance - Property Casualty classification in Germany and is traded on Frankfurt Stock Exchange. It employs 17400 people.
Markel's stock volatility refers to the amount of uncertainty or risk involved with the size of changes in its stock's price. It is a statistical measure of the dispersion of returns on Markel Stock over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much Markel's price varies over time.

3 ways to utilize Markel's volatility to invest better

Higher Markel's stock volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of Markel stock is relatively stable. Investors and traders use stock volatility as an indicator of risk and potential reward, as stocks with higher volatility can offer the potential for more significant returns but also come with a greater risk of losses. Markel stock volatility can provide helpful information for making investment decisions in the following ways:
  • Measuring Risk: Volatility can be used as a measure of risk, which can help you determine the potential fluctuations in the value of Markel investment. A higher volatility means higher risk and potentially larger changes in value.
  • Identifying Opportunities: High volatility in Markel's stock can indicate that there is potential for significant price movements, either up or down, which could present investment opportunities.
  • Diversification: Understanding how the volatility of Markel's stock relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
Remember it's essential to remember that stock volatility is just one of many factors to consider when making investment decisions, and it should be used in conjunction with other fundamental and technical analysis tools.

Markel Investment Opportunity

Markel has a volatility of 1.88 and is 2.09 times more volatile than Dow Jones Industrial. Compared to the overall equity markets, volatility of historical daily returns of Markel is lower than 16 percent of all global equities and portfolios over the last 90 days. You can use Markel to enhance the returns of your portfolios. The stock experiences a large bullish trend. Check odds of Markel to be traded at €1851.3 in 90 days.

Modest diversification

The correlation between Markel and DJI is 0.24 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Markel and DJI in the same portfolio, assuming nothing else is changed.

Markel Additional Risk Indicators

The analysis of Markel's secondary risk indicators is one of the essential steps in making a buy or sell decision. The process involves identifying the amount of risk involved in Markel's investment and either accepting that risk or mitigating it. Along with some common measures of Markel stock's risk such as standard deviation, beta, or value at risk, we also provide a set of secondary indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stocks, we recommend comparing similar stocks with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Markel Suggested Diversification Pairs

Pair trading is one of the very effective strategies used by professional day traders and hedge funds capitalizing on short-time and mid-term market inefficiencies. The approach is based on the fact that the ratio of prices of two correlating shares is long-term stable and oscillates around the average value. If the correlation ratio comes outside the common area, you can speculate with a high success rate that the ratio will return to the mean value and collect a profit.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against Markel as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. Markel's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, Markel's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to Markel.

Complementary Tools for Markel Stock analysis

When running Markel's price analysis, check to measure Markel's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Markel is operating at the current time. Most of Markel's value examination focuses on studying past and present price action to predict the probability of Markel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Markel's price. Additionally, you may evaluate how the addition of Markel to your portfolios can decrease your overall portfolio volatility.
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